Twitter Spam Detection and Traffic Classification: A data-driven cyber security approach - Couverture souple

Das, Soumitra ; Jaiswal, Deepika

9786206737056: Twitter Spam Detection and Traffic Classification: A data-driven cyber security approach

Couverture souple

ISBN 10 : 6206737055 ISBN 13 : 9786206737056

Editeur : LAP LAMBERT Academic Publishing, 2023

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2023
Langue: anglais
ISBN 10: 6206737055
ISBN 13: 9786206737056
Reliure: Broch�
Nombre de pages: 76
Coordonn�es du fabricant: non disponible
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Twitter Spam Detection and Traffic Classification

Soumitra Das

Edit� par LAP LAMBERT Academic Publishing Jul 2023, 2023

ISBN 10 : 6206737055 ISBN 13 : 9786206737056

Neuf Taschenbuch

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The rapid growth of the Internet and social media has led to an increase in the size of Internet traffic and the complexity of analyzing traffic behavior, especially in large-scale networks like social media platforms. Traditional rule-based methodologies are being replaced by automated approaches powered by machine learning, driven by the availability of large datasets that enable high-performance AI models. This book reviews recent research on cyber traffic analysis over social networks and the Internet, focusing on similarity, correlation, and collective indication concepts, and emphasizing the importance of security goals in classifying network hosts, applications, users, and tweets. To tackle these challenges, the paper introduces a new research methodology called data-driven cyber security (DDCS) and its application in analyzing social and Internet traffic. The DDCS methodology consists of three main components: cyber security data processing, cyber security feature engineering, and cyber security modeling. 76 pp. Englisch. N� de r�f. du vendeur 9786206737056

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Twitter Spam Detection and Traffic Classification : A data-driven cyber security approach

Soumitra Das

Edit� par LAP LAMBERT Academic Publishing, 2023

ISBN 10 : 6206737055 ISBN 13 : 9786206737056

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The rapid growth of the Internet and social media has led to an increase in the size of Internet traffic and the complexity of analyzing traffic behavior, especially in large-scale networks like social media platforms. Traditional rule-based methodologies are being replaced by automated approaches powered by machine learning, driven by the availability of large datasets that enable high-performance AI models. This book reviews recent research on cyber traffic analysis over social networks and the Internet, focusing on similarity, correlation, and collective indication concepts, and emphasizing the importance of security goals in classifying network hosts, applications, users, and tweets. To tackle these challenges, the paper introduces a new research methodology called data-driven cyber security (DDCS) and its application in analyzing social and Internet traffic. The DDCS methodology consists of three main components: cyber security data processing, cyber security feature engineering, and cyber security modeling. N� de r�f. du vendeur 9786206737056

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Twitter Spam Detection and Traffic Classification

Das, Soumitra|Jaiswal, Deepika

Edit� par LAP Lambert Academic Publishing, 2023

ISBN 10 : 6206737055 ISBN 13 : 9786206737056

Neuf Couverture souple

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Vendeur : moluna, Greven, Allemagne

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The rapid growth of the Internet and social media has led to an increase in the size of Internet traffic and the complexity of analyzing traffic behavior, especially in large-scale networks like social media platforms. Traditional rule-based methodologies a. N� de r�f. du vendeur 1023592000

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Twitter Spam Detection and Traffic Classification

Soumitra Das

Edit� par LAP LAMBERT Academic Publishing Jul 2023, 2023

ISBN 10 : 6206737055 ISBN 13 : 9786206737056

Neuf Taschenbuch

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The rapid growth of the Internet and social media has led to an increase in the size of Internet traffic and the complexity of analyzing traffic behavior, especially in large-scale networks like social media platforms. Traditional rule-based methodologies are being replaced by automated approaches powered by machine learning, driven by the availability of large datasets that enable high-performance AI models. This book reviews recent research on cyber traffic analysis over social networks and the Internet, focusing on similarity, correlation, and collective indication concepts, and emphasizing the importance of security goals in classifying network hosts, applications, users, and tweets. To tackle these challenges, the paper introduces a new research methodology called data-driven cyber security (DDCS) and its application in analyzing social and Internet traffic. The DDCS methodology consists of three main components: cyber security data processing, cyber security feature engineering, and cyber security modeling.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 76 pp. Englisch. N� de r�f. du vendeur 9786206737056

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Twitter Spam Detection and Traffic Classification | A data-driven cyber security approach

Soumitra Das (u. a.)

Edit� par LAP LAMBERT Academic Publishing, 2023

ISBN 10 : 6206737055 ISBN 13 : 9786206737056

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Vendeur : preigu, Osnabr�ck, Allemagne

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Twitter Spam Detection and Traffic Classification: A data-driven cyber security approach - Couverture souple

Das, Soumitra; Jaiswal, Deepika

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Das, Soumitra ; Jaiswal, Deepika